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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 821–830 of 1773 papers

TitleStatusHype
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020—0
HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task—0
Hindi-Marathi Cross Lingual Model—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task—0
The MUCOW word sense disambiguation test suite at WMT 2020Code1
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Combination of Neural Machine Translation Systems at WMT20—0
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